Sri Nitchith Akula — Software Engineer
I'm a deep learning and computer vision engineer with 7+ years of experience building real-world AI systems across autonomous vehicles, smartphones, and video compression. At Zoox, I develop and deploy motion forecasting models that enhance the safety and accuracy of autonomous driving. Previously at Samsung, I played a key role in AI-powered video super-resolution and compression models that were commercialized in Samsung smartphones and 8K TVs. I contributed to designing efficient CNNs, ARM GPU optimizations, and model tuning for on-device inference. My journey has spanned research, from spiking neural networks at IIT Bombay to neural re-photography at CMU, to building and deploying machine learning systems that scale. I'm passionate about designing, training, and shipping models for real-world applications.
Stackforce AI infers this person is a Deep Learning and Computer Vision Engineer specializing in Consumer Electronics and Automotive industries.
Location: Redwood City, California, United States
Experience: 7 yrs 11 mos
Skills
- Deep Learning
- Computer Vision
- Video Compression
Career Highlights
- 7+ years in deep learning and computer vision.
- Developed AI systems for autonomous vehicles and smartphones.
- Published patents in video coding technologies.
Work Experience
Zoox
Software Engineer - Prediction (3 yrs 4 mos)
Research Intern - Prediction (3 mos)
Samsung R&D Institute India
Lead Engineer (11 mos)
Senior Software Engineer (2 yrs)
Software Engineer (1 yr 8 mos)
Intern (2 mos)
Education
Master of Science - MS at Carnegie Mellon University
Bachelor of Technology (B.Tech.) with Honours at Indian Institute of Technology, Bombay